OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7542, kappa: 0.5045, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4867, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7462, kappa: 0.4902, kb_relative_information_score: 0.4979, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5039, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7534, kappa: 0.5027, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4842, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.482, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7542, kappa: 0.5045, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7534, kappa: 0.5029, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7525, kappa: 0.5011, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7534, kappa: 0.503, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.744, kappa: 0.486, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7571, kappa: 0.5102, kb_relative_information_score: 0.5098, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7566, kappa: 0.5094, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7545, kappa: 0.505, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.482, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.4822, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7536, kappa: 0.5033, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7534, kappa: 0.5027, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4854, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7431, kappa: 0.4846, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7421, kappa: 0.4824, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7415, kappa: 0.4815, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7443, kappa: 0.4866, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4842, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7426, kappa: 0.4838, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.754, kappa: 0.5041, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.482, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.741, kappa: 0.4802, kb_relative_information_score: 0.4888, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7451, kappa: 0.4882, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7429, kappa: 0.4838, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7462, kappa: 0.4904, kb_relative_information_score: 0.4984, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4867, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7444, kappa: 0.4869, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7423, kappa: 0.4829, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7431, kappa: 0.4846, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4841, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7525, kappa: 0.5011, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5039, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7449, kappa: 0.488, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7531, kappa: 0.5023, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8043, kappa: 0.6053, kb_relative_information_score: 0.5711, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8043, kappa: 0.6053, kb_relative_information_score: 0.5711, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 0.5819, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8021, kappa: 0.6009, kb_relative_information_score: 0.5287, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7443, kappa: 0.4849, kb_relative_information_score: 0.442, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.684, kappa: 0.364, kb_relative_information_score: 0.3448, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6843, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7843, kappa: 0.565, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7576, kappa: 0.5112, kb_relative_information_score: 0.4654, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7905, kappa: 0.5775, kb_relative_information_score: 0.5612, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5266, kappa: 0.1528, kb_relative_information_score: 0.2022, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6052, prior_entropy: 0.9948, recall: 0.6052, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6284, root_relative_squared_error: 1.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5116, kappa: 0.1354, kb_relative_information_score: 0.1876, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6906, predictive_accuracy: 0.598, prior_entropy: 0.9948, recall: 0.598, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.476, kappa: 0.0969, kb_relative_information_score: 0.1558, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.5822, prior_entropy: 0.9948, recall: 0.5822, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6553, kappa: 0.3302, kb_relative_information_score: 0.3541, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.4902, kappa: 0.1095, kb_relative_information_score: 0.1655, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6823, predictive_accuracy: 0.587, prior_entropy: 0.9948, recall: 0.587, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6426, root_relative_squared_error: 1.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 0.5081, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.4468, kappa: 0.0658, kb_relative_information_score: 0.13, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6982, predictive_accuracy: 0.5694, prior_entropy: 0.9948, recall: 0.5694, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5492, kappa: 0.1817, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6174, prior_entropy: 0.9948, recall: 0.6174, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5492, kappa: 0.1817, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6174, prior_entropy: 0.9948, recall: 0.6174, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5492, kappa: 0.1817, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6174, prior_entropy: 0.9948, recall: 0.6174, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4659, kappa: 0.0854, kb_relative_information_score: 0.1461, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6932, predictive_accuracy: 0.5774, prior_entropy: 0.9948, recall: 0.5774, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.65, root_relative_squared_error: 1.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5492, kappa: 0.1817, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6174, prior_entropy: 0.9948, recall: 0.6174, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.4601, kappa: 0.081, kb_relative_information_score: 0.1429, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7052, predictive_accuracy: 0.5758, prior_entropy: 0.9948, recall: 0.5758, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6859, kappa: 0.3776, kb_relative_information_score: 0.3939, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7184, predictive_accuracy: 0.7001, prior_entropy: 0.9948, recall: 0.7001, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5074, kappa: 0.1356, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6763, kappa: 0.3679, kb_relative_information_score: 0.3891, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6635, kappa: 0.3479, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7308, predictive_accuracy: 0.6891, prior_entropy: 0.9948, recall: 0.6891, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.59, kappa: 0.2444, kb_relative_information_score: 0.2835, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.6454, prior_entropy: 0.9948, recall: 0.6454, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7821, kappa: 0.5609, kb_relative_information_score: 0.5599, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7681, kappa: 0.5336, kb_relative_information_score: 0.5308, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 0.4661, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7417, kappa: 0.4792, kb_relative_information_score: 0.4839, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6958, kappa: 0.3944, kb_relative_information_score: 0.4085, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7217, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.541, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6855, kappa: 0.3766, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1002,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs